CN110263378A - Wiper big data analysis method and apparatus, storage medium - Google Patents
Wiper big data analysis method and apparatus, storage medium Download PDFInfo
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- CN110263378A CN110263378A CN201910431294.6A CN201910431294A CN110263378A CN 110263378 A CN110263378 A CN 110263378A CN 201910431294 A CN201910431294 A CN 201910431294A CN 110263378 A CN110263378 A CN 110263378A
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- Prior art keywords
- wiper
- related data
- waterside number
- designation date
- big data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
Abstract
This disclosure relates to a kind of wiper big data analysis method and apparatus, storage medium, to solve the problems, such as not cause the design and manufacture of wiper not have targetedly the analysis of wiper progress system in the related technology.The wiper big data analysis method includes: to obtain the related data of wiper；Designation date to obtain the wiper is analyzed the related data of the wiper.
Description
Technical field
This disclosure relates to automobile technical field, and in particular, to a kind of wiper big data analysis method and apparatus, storage
Medium.
Background technique
Background that this section is intended to provide an explanation of the embodiments of the present invention set forth in the claims or context.Herein
Description recognizes it is the prior art not because not being included in this section.
Wiper is common a kind of burnisher on automobile, is mainly used to strike off the rain being attached on windshield
Snow and dust, guarantee the clarity of driver's seat, to improve travel safety.
The service condition and service life length of the wiper of different regions different time all can be variant.Use to wiper
The analysis that the factors such as area, time and the frequency carry out system can provide foundation, Yong Huke for the design and manufacture of automobile wiper
To select more suitable wiper for different factors, but at present on the market without occur the territory of use in conjunction with wiper, when
Between and the factors such as the frequency system that carries out the analysis of wiper data.
Summary of the invention
The disclosure provides a kind of wiper big data analysis method and apparatus, storage medium, to solve not having in the related technology
Have and is carried out by the analysis of system and the design and manufacture of wiper is caused not have targetedly problem for wiper.
To achieve the above object, the embodiment of the present disclosure in a first aspect, providing a kind of wiper big data analysis method, institute
The method of stating includes:
Obtain the related data of wiper；
Designation date to obtain the wiper is analyzed the related data of the wiper.
Optionally, the related data for obtaining wiper includes:
The location information of vehicle where obtaining the wiper, the wiper scrape waterside number and temporal information.
Optionally, it is described obtain the wiper scrape waterside number, comprising:
Obtain the number that the corresponding reset signal of the wiper is connected with earth signal in life cycle.
Optionally, the related data to the wiper is analyzed the designation date to obtain the wiper,
Include:
Waterside number is scraped in life cycle according to the wiper, obtains the indicated number of the wiper access times
According to；
The wiper according to different regions scrapes waterside number, obtains the finger of the durability degree of the wiper of different regions
Registration evidence；And/or
The wiper according to different time sections scrapes waterside number, obtains promoting making for the wiper in the corresponding period
With the designation date of effect.
The second aspect of the embodiment of the present disclosure, provides a kind of wiper big data analysis device, and described device includes:
Wiper；
Module is obtained, is configured as obtaining the related data of wiper；
Analysis module is configured as analyzing the related data of the wiper instruction to obtain the wiper
Data.
Optionally, the acquisition module is also configured to
The location information of vehicle where obtaining the wiper, the wiper scrape waterside number and temporal information.
Optionally, the acquisition module is also configured to
Obtain the number that the corresponding reset signal of the wiper is connected with earth signal in life cycle.
Optionally, the analysis module includes:
First submodule is configured as scraping waterside number in life cycle according to the wiper, obtains described scraping water
The designation date of device access times；
Second submodule, be configured as the wiper according to different regions scrapes waterside number, obtains the institute of different regions
State the designation date of the durability degree of wiper；And/or
Third submodule, be configured as the wiper according to different time sections scrapes waterside number, obtains the corresponding period
The designation date of the interior using effect for promoting the wiper.
The third aspect of the embodiment of the present disclosure provides a kind of computer readable storage medium, is stored thereon with computer journey
The step of sequence, which realizes any one of above-mentioned first aspect the method when being executed by processor.
The fourth aspect of the embodiment of the present disclosure, a kind of wiper big data analysis device, comprising:
Memory is stored thereon with computer readable storage medium described in the above-mentioned third aspect；And
Processor, for executing the computer program in the memory.
By adopting the above technical scheme, following technical effect can at least be reached:
This programme obtains the relevant data of the design and manufacture to wiper first, then is analyzed to obtain to the data of acquisition
Designation date relevant to the design and manufacture of the wiper more targeted can manufacture and design according to the designation date
Wiper, to solve not cause the design and manufacture of wiper not have the analysis of wiper progress system in the related technology
Targetedly problem.
Other feature and advantage of the disclosure will the following detailed description will be given in the detailed implementation section.
Detailed description of the invention
Attached drawing is and to constitute part of specification for providing further understanding of the disclosure, with following tool
Body embodiment is used to explain the disclosure together, but does not constitute the limitation to the disclosure.In the accompanying drawings:
Fig. 1 is a kind of disclosure flow chart of wiper big data analysis method shown according to an exemplary embodiment.
Fig. 2 is a kind of disclosure another process of wiper big data analysis method shown according to an exemplary embodiment
Figure.
Fig. 3 is a kind of disclosure another process of wiper big data analysis method shown according to an exemplary embodiment
Figure.
Fig. 4 is a kind of disclosure another process of wiper big data analysis method shown according to an exemplary embodiment
Figure.
Fig. 5 is a kind of disclosure block diagram of wiper big data analysis device shown according to an exemplary embodiment.
Fig. 6 is a kind of disclosure analysis module of wiper big data analysis device shown according to an exemplary embodiment
Block diagram.
Fig. 7 is a kind of disclosure another frame of wiper big data analysis device shown according to an exemplary embodiment
Figure.
Specific embodiment
It is described in detail below in conjunction with specific embodiment of the attached drawing to the disclosure.It should be understood that this place is retouched
The specific embodiment stated is only used for describing and explaining the disclosure, is not limited to the disclosure.
Fig. 1 is a kind of disclosure flow chart of wiper big data analysis method shown according to an exemplary embodiment.
As shown in Figure 1, the wiper big data analysis method includes the following steps:
S11 obtains the related data of wiper.
In step s 11, the related data of the wiper refers to data related with the design and manufacture of the wiper,
The related data of the wiper can be to be obtained in the practical application of the wiper in real time, that is, is obtained in practical application
In different factors under the influence of the wiper related data, be also possible to timing acquisition.Pass through installation in the disclosure
The vehicle of the wiper obtains related data, stores the related data of the wiper, each vehicle by cloud platform
There is the VIN number (Vehicle Identification Number) of oneself, related data stored according to different VIN numbers,
Facilitate the related data of the wiper of differentiation different vehicle, the disclosure does not limit this.
The related data of the wiper can be the wiper scrape waterside number, the period that the wiper uses
The location of wiper information etc., the disclosure does not limit this.
S12 is analyzed the related data of the wiper designation date to obtain the wiper.
In step s 12, the designation date of the wiper refers to through the dependency number to the wiper got
The data with indicating function relevant to the design and manufacture of the wiper obtained according to finishing analysis is carried out, the indicated number
According to analysis can be carried out in cloud platform, the related data of the wiper got can also be downloaded by cloud platform, then
Finishing analysis is carried out in system or platform, and user is facilitated to divide under different application environments the related data of wiper
Analysis, the disclosure do not limit this.
The designation date of the wiper can be indicative data related with the practicable design of the wiper,
Can be and the related indicative data of the economic design of the wiper, be also possible to it is related with the selection of the wiper
Indicative data, the disclosure do not limit this.
Fig. 2 is a kind of disclosure another process of wiper big data analysis method shown according to an exemplary embodiment
Figure.As shown in Fig. 2, the wiper big data analysis method includes the following steps:
S21, the location information of vehicle where obtaining the wiper, the wiper scrape waterside number and time letter
Breath.
In the step s 21, the location information of vehicle where the wiper, the wiper scrape waterside number and time
The related data for the wiper mentioned in information, that is, step S11.
The location information of vehicle where the wiper can be obtained by the vehicle device of the vehicle, and location information can be with
Reflect the applicable cases of wiper described in different regions, for wiper described in different regions design and manufacture or selection provide according to
According to designing or choose the wiper of properer this area's practical situations.The wiper is scraped waterside number and can be led to
The BCM (Body Control Module) for crossing the vehicle is obtained, and the waterside number of scraping of the wiper is the wiper
Waterside number is scraped in life cycle, scraping waterside number can reflect out the actual use number of the wiper, with the wiper
Service life and tolerance degree it is related.The temporal information is the location information of vehicle, institute where the acquisition wiper
Temporal information when scraping waterside number for stating wiper, can be obtained, institute by the control module or network module of the vehicle itself
Stating temporal information can reflect the actual use situation of wiper section such as Various Seasonal in different times, because described scrape
The use of hydrophone is related with rainfall and temperature, so the service condition of the wiper in different time periods is analyzed,
It can design based on the analysis results and more meet wiper in different time periods.The T-BOX of the vehicle can be passed through
(TelematicsBOX) VIN number of above-mentioned data and the vehicle cloud platform is sent to store.
S22 is analyzed the related data of the wiper designation date to obtain the wiper.
In step S22, i.e., location information to vehicle where the wiper is analyzed to related data, described is scraped
The location information of vehicle where the scraping waterside number and obtain the wiper of hydrophone, when scraping waterside number of the wiper
The data such as temporal information are analyzed.
Waterside number and time are scraped by location information to vehicle where the above wiper, the wiper
Information is analyzed, it can be deduced that the specific influence of region factors, environmental factor and actual use on the wiper, according to tool
Body, which influences preferably to provide the design of wiper with selection, has indicative suggestion and guidance.
Fig. 3 is a kind of disclosure another process of wiper big data analysis method shown according to an exemplary embodiment
Figure.As shown in figure 3, the wiper big data analysis method includes the following steps:
S31, the location information of vehicle where obtaining the wiper, corresponding resets of the wiper is believed in life cycle
Number number be connected with earth signal and temporal information.
In step S31, the life cycle in the wiper is obtained to the acquisition for scraping waterside number of the wiper
The number that interior reset signal related with the wiper is connected with earth signal.
The BCM of the wiper and the vehicle is attached by hard signal, when the wiper scrapes water one time,
It can be connected between reset signal relevant to the wiper and earth signal once, i.e., the described wiper scrapes water how many times, resets
How many times will be connected between signal and earth signal, add up further according to scrape waterside number of the VIN number to the wiper, until
The life cycle of the wiper terminates, and has just obtained scraping waterside number in the life cycle of the wiper of different vehicle.
S32 is analyzed the related data of the wiper designation date to obtain the wiper.
In step s 32, location information, Life Cycle i.e. to the wiper where vehicle is analyzed related data
The position of the corresponding reset signal of the wiper is connected with earth signal in phase number and vehicle where obtaining the wiper
The data such as temporal information when scraping waterside number of confidence breath, the wiper are analyzed.
Fig. 4 is a kind of disclosure another process of wiper big data analysis method shown according to an exemplary embodiment
Figure.As shown in figure 4, the wiper big data analysis method includes the following steps:
S41, the location information of vehicle where obtaining the wiper, corresponding resets of the wiper is believed in life cycle
Number number be connected with earth signal and temporal information.
S42 scrapes waterside number in life cycle according to the wiper, obtains the instruction of the wiper access times
Data.
In step S42, the designation date of the wiper access times can be provided to the design and manufacture of the wiper
The access times of foundation, the wiper scrape waterside number, related with the service life of the wiper, can be the wiper
Service life provides an actual reference data.The material of the design and manufacture of the wiper and wiper, structure and its
His factor is related, longer, the wiper of scraping waterside number more service life that can show the wiper of the wiper
To scrape waterside number fewer service life that can show the wiper shorter.If it is known that the life cycle of the vehicle terminates, institute
Stating wiper may continue to using then can suitably reduce the wiper when designing wiper scrapes waterside number
To use lower-cost material or fairly simple structure；If the service life of wiper is too in the life cycle of the vehicle
Short-range missile causes the vehicle that need to repeatedly replace wiper, then scrapes waterside with suitably increase the wiper when designing wiper
Number, it can material or more complicated structure using higher cost.
S43, the wiper according to different regions scrape waterside number, obtain the durability degree of the wiper of different regions
Designation date.
In step S43, the waterside number of scraping of wiper described in different regions can reflect the use of different regions wiper
Situation can provide foundation for the durability degree or the suitable wiper of selection for designing the wiper, and the durability degree is understood that
It is related with the material of the wiper, structure and other factors for the service life of the wiper.If a certain area, described to scrape
The access times of hydrophone are generally on the low side, it is understood that there may be the less situation of rainfall just need not design or select the service life for this at this time
Longer wiper can use lower-cost material or fairly simple structure in design, can when selecting wiper
To select service life shorter wiper, cost can be preferably reduced；If the access times in a certain area, the wiper are generally inclined
It is more, it is understood that there may be the more situation of rainfall just should design or select the wiper lasted a long time for this at this time, in design
Can using higher cost material or more complicated structure, can choose when selecting wiper last a long time scrape water
Device can preferably improve the usage experience of user.
S44, the wiper according to different time sections scrape waterside number, obtain promoting the wiper in the corresponding period
Using effect designation date.
In step S44, the waterside number of scraping of wiper described in different time sections can reflect different time sections wiper
Service condition.The using effect refers to service life of wiper under the influence of different factors or scrapes water effect or cleaning effect
Situation.In such as season different periods, different season rainfalls and temperature are all different, these factors, which will affect, described scrapes water
The frequency of usage of device and service life can be designed that the wiper of the period preferably for the different periods.If some when
Between section rainfall it is more, then the access times of wiper can be on the high side, just needs to improve the service life of the wiper at this time, makes it suitable
Answer the environment that rainfall is more；If some period rainfall is less, the access times of wiper can be on the low side, just needs to reduce at this time
The service life of the wiper, meet actually use situation under conditions of save the cost as far as possible；If some wiper is at some
The using effect of period is best, then can be when designing the wiper, using the rainfall or temperature for being more suitable for the period
Material or structure.
Fig. 5 is a kind of disclosure block diagram of wiper big data analysis device 100 shown according to an exemplary embodiment.
As shown in figure 5, the wiper big data analysis device 100 includes:
Wiper 110；
Module 120 is obtained, is configured as obtaining the related data of wiper 110.
Analysis module 130 is configured as analyzing the related data of the wiper 110 to obtain the wiper
110 designation date.
The acquisition module 120 is also configured to
Obtain the location information of the 110 place vehicle of wiper, the wiper 110 scrapes waterside number and time letter
Breath.
The acquisition module 120 is also configured to
Obtain the number that the corresponding reset signal of the wiper 110 is connected with earth signal in life cycle.
Fig. 6 is a kind of disclosure analysis of wiper big data analysis device 100 shown according to an exemplary embodiment
The block diagram of module 130.As shown in fig. 6, the analysis module 130 includes:
First submodule 131 is configured as scraping waterside number in life cycle according to the wiper 110, obtains institute
State the designation date of 110 access times of wiper.
Second submodule 132, be configured as the wiper 110 according to different regions scrapes waterside number, obtains differently
The designation date of the durability degree of the wiper 110 in area.
Third submodule 133, be configured as the wiper 110 according to different time sections scrapes waterside number, is corresponded to
The designation date of the using effect of the wiper 110 is promoted in period.
Fig. 7 is a kind of the another of disclosure wiper big data analysis device 200 shown according to an exemplary embodiment
Block diagram.As shown in fig. 7, the device 200 may include: processor 201, memory 202, multimedia component 203, input/output
(I/O) interface 204 and communication component 205.
Wherein, processor 201 is used to control the integrated operation of the device 200, to complete above-mentioned wiper big data point
All or part of the steps in analysis method.Memory 202 is for storing various types of data to support the behaviour in the device 200
Make, these data for example may include the instruction of any application or method for operating on the device 200, Yi Jiying
With the relevant data of program.The memory 202 can by any kind of volatibility or non-volatile memory device or they
Combination realize that such as static random access memory (Static Random Access Memory, abbreviation SRAM), electricity can
Erasable programmable read-only memory (EPROM) (Electrically Erasable Programmable Read-Only Memory, referred to as
EEPROM), Erasable Programmable Read Only Memory EPROM (Erasable Programmable Read-Only Memory, abbreviation
EPROM), programmable read only memory (Programmable Read-Only Memory, abbreviation PROM), read-only memory
(Read-Only Memory, abbreviation ROM), magnetic memory, flash memory, disk or CD.Multimedia component 203 can wrap
Include screen and audio component.Wherein screen for example can be touch screen, and audio component is used for output and/or input audio signal.
For example, audio component may include a microphone, microphone is for receiving external audio signal.The received audio signal can
To be further stored in memory 202 or be sent by communication component 205.Audio component further includes at least one loudspeaker,
For output audio signal.I/O interface 204 provides interface, other above-mentioned interfaces between processor 201 and other interface modules
Module can be keyboard, mouse, button etc..These buttons can be virtual push button or entity button.Communication component 205 is used for
Wired or wireless communication is carried out between the device 200 and other equipment.Wireless communication, such as Wi-Fi, bluetooth, near-field communication
(Near Field Communication, abbreviation NFC), 2G, 3G or 4G or they one or more of combination, therefore
The corresponding communication component 205 may include: Wi-Fi module, bluetooth module, NFC module.
In one exemplary embodiment, device 200 can be by one or more application specific integrated circuit
(Application Specific Integrated Circuit, abbreviation ASIC), digital signal processor (Digital
Signal Processor, abbreviation DSP), digital signal processing appts (Digital Signal Processing Device,
Abbreviation DSPD), programmable logic device (Programmable Logic Device, abbreviation PLD), field programmable gate array
(Field Programmable Gate Array, abbreviation FPGA), controller, microcontroller, microprocessor or other electronics member
Part is realized, for executing above-mentioned wiper big data analysis method.
In a further exemplary embodiment, a kind of computer readable storage medium including program instruction, example are additionally provided
It such as include the memory 202 of program instruction, above procedure instruction can be executed above-mentioned to complete by the processor 201 of device 200
Wiper big data analysis method.
The preferred embodiment of the disclosure is described in detail in conjunction with attached drawing above, still, the disclosure is not limited to above-mentioned reality
The detail in mode is applied, in the range of the technology design of the disclosure, a variety of letters can be carried out to the technical solution of the disclosure
Monotropic type, these simple variants belong to the protection scope of the disclosure.
One skilled in the art will appreciate that embodiments of the present invention can be implemented as a kind of system, device, method or calculating
Machine program product.Therefore, disclose can be with specific implementation is as follows by the present invention, it may be assumed that complete hardware, complete software (packet
Include firmware, resident software, microcode etc.) or hardware and software combine form.
It is further to note that specific technical features described in the above specific embodiments, in not lance
In the case where shield, it can be combined in any appropriate way.In order to avoid unnecessary repetition, the disclosure to it is various can
No further explanation will be given for the combination of energy.
In addition, any combination can also be carried out between a variety of different embodiments of the disclosure, as long as it is without prejudice to originally
Disclosed thought equally should be considered as disclosure disclosure of that.
Claims (10)
1. a kind of wiper big data analysis method characterized by comprising
Obtain the related data of wiper；
Designation date to obtain the wiper is analyzed the related data of the wiper.
2. the method according to claim 1, wherein the related data for obtaining wiper includes:
The location information of vehicle where obtaining the wiper, the wiper scrape waterside number and temporal information.
3. according to the method described in claim 2, it is characterized in that, the acquisition wiper scrapes waterside number, comprising:
Obtain the number that the corresponding reset signal of the wiper is connected with earth signal in life cycle.
4. according to the method described in claim 3, it is characterized in that, the related data to the wiper analyzed with
Obtain the designation date of the wiper, comprising:
Waterside number is scraped in life cycle according to the wiper, obtains the designation date of the wiper access times；
The wiper according to different regions scrapes waterside number, obtains the indicated number of the durability degree of the wiper of different regions
According to；And/or
The wiper according to different time sections scrapes waterside number, obtains the use effect that the wiper is promoted in the corresponding period
The designation date of fruit.
5. a kind of wiper big data analysis device characterized by comprising
Wiper；
Module is obtained, for obtaining the related data of wiper；
Analysis module is analyzed the designation date to obtain the wiper for the related data to the wiper.
6. device according to claim 5, which is characterized in that the acquisition module is also used to:
The location information of vehicle where obtaining the wiper, the wiper scrape waterside number and temporal information.
7. device according to claim 6, which is characterized in that the acquisition module is also used to:
Obtain the number that the corresponding reset signal of the wiper is connected with earth signal in life cycle.
8. device according to claim 7, which is characterized in that the analysis module includes:
First submodule obtains the wiper use time for scraping waterside number in life cycle according to the wiper
Several designation dates；
Second submodule scrapes waterside number for the wiper according to different regions, obtains the wiper of different regions
Durability degree designation date；And/or
Third submodule scrapes waterside number for the wiper according to different time sections, obtains promoting institute in the corresponding period
State the designation date of the using effect of wiper.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The step of any one of claims 1 to 4 the method is realized when row.
10. a kind of wiper big data analysis device characterized by comprising
Memory is stored thereon with computer program；And
Processor, for executing the computer program in the memory, to realize any one of claims 1 to 7 institute
The step of stating method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910431294.6A CN110263378A (en) | 2019-05-22 | 2019-05-22 | Wiper big data analysis method and apparatus, storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910431294.6A CN110263378A (en) | 2019-05-22 | 2019-05-22 | Wiper big data analysis method and apparatus, storage medium |
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Family
ID=67915067
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| CN201910431294.6A Pending CN110263378A (en) | 2019-05-22 | 2019-05-22 | Wiper big data analysis method and apparatus, storage medium |
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| CN101398345A (en) * | 2008-10-09 | 2009-04-01 | 重庆长安汽车股份有限公司 | Control system of durability test device for automobile window glass water scraper |
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